Digitalization in Offshore Wind Energy

Based on industry examples this module will introduce participants to concepts, methods and tools to improve their understanding and application of digital thinking in the OWE. This will take place throughout the full lifecycle of offshore wind infrastructure – from surveying, planning, design, logistics, operational support, training and decommissioning.

Furthermore, this module also presents the use of generic technologies enabling many of the previous digital applications i.e. big data analytics, 5G technology, AI, cloud computing, blockchain and IoT. Potential benefits and challenges of these technologies will be presented, and participants will get opportunities to discuss, compare and contrast applications and potential implications.  


Learning Goals:

  • Students learn ‘digital thinking’ in the offshore wind industry. 
  • Insights into the digital transformation across the entire value chain from the plant to the customer and other stakeholders.
  • Adopting new technologies to help adapt products to changing requirements.
  • Use of digital twins in the wind energy industry to ensure product precision and faster execution without bottlenecks.
  • Optimization of maintenance strategies and improvement of plant performance through real-time diagnostics as part of asset performance management.
  • Improving the management of the product life cycle through simulation and real-time applications.
  • Use of IoT-driven automation and man-machine interaction in offshore wind energy.

Lecturers:

Rasmus Dovnborg Frederiksen

Siemens Gamesa Renewable Energy A/S

Michael Bjerrum 

Shoreline Wind


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